Multiple imputations and the missing censoring indicator model
type: Item
instance of: scholarly article
title: Multiple imputations and the missing censoring indicator model
zbMATH Open document ID: 1206.62162
author: Sundarraman Subramanian
published in: Journal of Multivariate Analysis
publication date: 2010-11-25T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5819546
zbMATH Keywords: asymptotic normality
zbMATH Keywords: functional delta method
zbMATH Keywords: Lindeberg's condition
zbMATH Keywords: maximum likelihood
zbMATH Keywords: missing at random
zbMATH Keywords: model-based resampling
MaRDI profile type: Publication
full work available at URL: j.jmva.2010.08.005
OpenAlex ID: W2084854477
cites work: Q5560061
cites work: Q3794956
cites work: On semiparametric random censorship models
cites work: Bootstrap Approximations in Model Checks for Binary Data
cites work: A survey of product-integration with a view toward application in survival analysis
cites work: Finite sample properties of multiple imputation estimators.
cites work: Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
cites work: Inference and missing data
cites work: Q4654005
cites work: Inference Based on Imputed Failure Times for the Proportional Hazards Model with Interval-Censored Data
cites work: Asymptotic results for multiple imputation
cites work: Multiple imputation and other resampling schemes for imputing missing observations
cites work: Nonparametric model checks for regression
cites work: Bootstrap Approximations in Model Checks for Regression
cites work: Parameter estimation in regression for long-term survival rate from censored data
cites work: Asymptotically efficient estimation of a survival function in the missing censoring indicator model
cites work: Survival-rate regression using kernel conditional Kaplan-Meier estimators
cites work: Survival analysis for the missing censoring indicator model using kernel density estimation techniques
cites work: The multiple imputations based Kaplan-Meier estimator
cites work: The missing censoring indicator model and the smoothed bootstrap
cites work: Multiple imputation methods for testing treatment differences in survival distributions with missing cause of failure
cites work: Efficient estimation from right-censored data when failure indicators are missing at random
cites work: Asymptotic Statistics
cites work: Large-sample theory for parametric multiple imputation procedures
cites work: Asymptotic optimality of the product limit estimator
cites work: Resampling Methods for Testing a Semiparametric Random Censorship Model
DOI: 10.1016/J.JMVA.2010.08.005
description: scientific article; zbMATH DE number 5819546